This volume presents the state of the art concerning quality and interestingness measures for data mining. The book summarizes recent developments and presents original research on this topic. The chapters include surveys, comparative studies of existing measures, proposals of new measures, simulations, and case studies. Both theoretical and applied chapters are included. Papers for this book were selected and reviewed for correctness and completeness by an international review committee.
The STi7105 uses state of the art process
technology to provide an ultra low-cost, fully
featured HD AVC decoder IC. It is a highly
integrated system-on-chip suitable for STB markets across all networks (cable/satellite/DTT/x-
DSL/IP) worldwide
observable distribution grid are investigated. A distribution
grid is observable if the state of the grid can be fully determined.
For the simulations, the modified 34-bus IEEE test feeder is used.
The measurements needed for the state estimation are generated
by the ladder iterative technique. Two methods for the state
estimation are analyzed: Weighted Least Squares and Extended
Kalman Filter. Both estimators try to find the most probable
state based on the available measurements. The result is that
the Kalman filter mostly needs less iterations and calculation
time. The disadvantage of the Kalman filter is that it needs some
foreknowlegde about the state.
See Appendix B for a description of the programs included
on this companion disk. RESOURCE.WRI identifies other books
and resources for Internet programming. WEBHELP.HLP contains
an introduction to the World Wide Web. TCPMAN.HLP provides
detailed instructions to help you use the Trumpet Winsock
included on this disk. Use the Program Manager s File menu
Run option to execute the SETUP.EXE program found on this
disk. SETUP.EXE will install the programs on your hard drive
and create an Internet Programming group window.
Internet編程技術 [配套程序]
[涉及平臺] VC
[作者] void
[文件大小] 1032K
/*
* EULER S ALGORITHM 5.1
*
* TO APPROXIMATE THE SOLUTION OF THE INITIAL VALUE PROBLEM:
* Y = F(T,Y), A<=T<=B, Y(A) = ALPHA,
* AT N+1 EQUALLY SPACED POINTS IN THE INTERVAL [A,B].
*
* INPUT: ENDPOINTS A,B INITIAL CONDITION ALPHA INTEGER N.
*
* OUTPUT: APPROXIMATION W TO Y AT THE (N+1) VALUES OF T.
*/
in this paper,wo propose an extension of the zerotree-based space-frequency quantization algorithm by adding a wedgelet symbol to its tree-pruning optimization.
